Simulação numérica do escoamento trifásico em reservatórios de petróleo

• Autor(a) principal: Debossam, João Gabriel Souza
• Data de Publicação: 2022
• Outros Autores: [e-mail]
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/18263
• topic: Reservoir simulation; Porous media; Three-phase flow; Finite volume method; Simulação de reservatórios; Meios porosos; Método dos volumes finitos; WAG; Escoamento em meios porosos; Métodos de simulação; Engenharia de reservatório de óleo; Escoamento trifásico; Engenharia de petróleo; Dinâmica dos fluídos; ENGENHARIAS::ENGENHARIA MECANICA::FENOMENOS DE TRANSPORTE

The mathematical model for three-phase flow in porous media is described by at least three partial differential equations. These equations are often non-linear and with the presence of heterogeneous coefficients, which makes it very hard to obtain an analytical solution. The nonlinearities and the coupling between the equations can be treated in different forms, raising different ways for solving the model. In this work, the traditional solutions are reviewed, including IMPES and fully implicit, together with the Finite Volume Method for the model discretization. A third option for the solution is examined, here called Sequential Picard-Newton method, in two versions: simultaneous and detached. This new strategy represents this work main contribution. The analyzed model consists in the isothermal and immiscible flow of oil, water and gas, taking into account the three fluids compressibilities and also considering the porous media to be compressible. As application examples, three-phase flow in porous media is considered under different scenarios, including the presence of production wells and the alternate injection of water and gas (WAG), capillary effects and also gravitational effects. Sequential Picard-Newton method, in both versions, was capable of producing similar results as shown by the traditional methods and, for the numerical experiments presented here, with a significant reduction in simulation time.